Encoding of spatio-temporal input characteristics by a CA1 pyramidal neuron model.

ABSTRACT: The in vivo activity of CA1 pyramidal neurons alternates between regular spiking and bursting, but how these changes affect information processing remains unclear. Using a detailed CA1 pyramidal neuron model, we investigate how timing and spatial arrangement variations in synaptic inputs to the distal and proximal dendritic layers influence the information content of model responses. We find that the temporal delay between activation of the two layers acts as a switch between excitability modes: short delays induce bursting while long delays decrease firing. For long delays, the average firing frequency of the model response discriminates spatially clustered from diffused inputs to the distal dendritic tree. For short delays, the onset latency and inter-spike-interval succession of model r

SUBMITTER: Pissadaki EK 

PROVIDER: S-EPMC3002985 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature